The algorithm for optimization of a credit portfolio has not been fully demonstrated. This paper fills the gap in the literature by presenting a general approach for optimizing a credit portfolio by minimizing the default risk of the entire portfolio. Default risk is measured with quadratic...

Background: Coal production and marketing enterprises can significantly reduce transportation costs and improve their competitiveness by choosing appropriate road transportation companies. Methods: Based on this, a trapezoidal fuzzy SWARA-COPRAS method is proposed to select coal transportation...

Currently, the supplier selection process is considered as an integral part of the supply chain. The appropriate selection of suppliers plays a preponderant role in the performance chain of supply as it determines relevant aspects such as cost management and flexibility of most production...

Reducing energy consumption while providing a high-quality environment for occupants has become an important target which is worthy of consideration in the pre-design stage. A reasonable design can help achieve better performance while avoiding too much energy consumption. Parametric design...

A fuzzy goal programming approach is applied in this paper for solving the vendor selection problem with multiple objectives, in which some of the parameters are fuzzy in nature. A vendor selection problem has been formulated as a fuzzy mixed integer goal programming vendor selection problem...

This multidisciplinary study aims to overcome the shortcomings of traditional data collection methods used in the literature to investigate drivers of e-wallet adoption. We apply big data analytics to gather and analyze real-world data from users’ sentiments and opinions available on online...

Maintenance planning for railway networks is an exacting task, as it directly affects a wide range of stakeholders and entails multiple objectives. Further complications arise when maintenance strategies have to be identified at asset-type level but their corresponding performance is determined...

The collaborative robots (cobots) are one of the drivers of Industry 4.0, because they allow the automation and semi-automation of the process, yet allowing the flexibility of the production plan. The main area of cobots’ application are the assembly processes. For safety reasons, the assembly...

Metaheuristics have shown promising performance in solving various deterministic optimization problems, but their performance may deteriorate drastically when tackling problems containing stochastic multiple objectives that should be optimized simultaneously. In recent years, a large amount of...